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Were they a shock or an opportunity?: The heterogeneous impacts of the 9/11 attacks on refugees as job seekers—a nonlinear multi-level approach

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  • Seonho Shin

    (University of Frankfurt
    Department of Employment Policy Research)

Abstract

This study investigates whether the September 11 terrorist attacks had any impacts on the labor market outcomes of refugees resettled in the United States, who should be distinguished from economic migrants or usual nonnatives. Furthermore, this paper sheds unprecedented light on whether those impacts were heterogeneous depending on a refugee’s ethnicity or religion. In terms of econometric methods, this research attempts to allow for the violation of the conventional condition of independently and identically distributed (i.i.d.) observations and control for cluster-specific unobservables by using nonlinear multi-level models, considering that refugees form unique networks in their resettlement regions and actively interact with one another within their clusters. Due to the binary dependent variable of this study, the incidental parameters problem is also taken into account. The multi-level estimates of this paper suggest that the September 11 attacks did not uniformly shock all sub-populations of refugees: rather, they presented a unique, substantial opportunity for Asian refugees and a serious threat to African and Arab refugees. One unanticipated finding is that the employment probability of European refugees remained stable, whereas that of Asian refugees markedly increased after the attacks. However, in terms of employment quality, measured by real wages, European refugees were the only ones who benefited from the attacks. Possible explanations for such heterogeneous impacts and different patterns of benefits are discussed, including positive versus negative selection into employment.

Suggested Citation

  • Seonho Shin, 2021. "Were they a shock or an opportunity?: The heterogeneous impacts of the 9/11 attacks on refugees as job seekers—a nonlinear multi-level approach," Empirical Economics, Springer, vol. 61(5), pages 2827-2864, November.
  • Handle: RePEc:spr:empeco:v:61:y:2021:i:5:d:10.1007_s00181-020-01963-8
    DOI: 10.1007/s00181-020-01963-8
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    Cited by:

    1. Bo E. Honoré & Luojia Hu, 2023. "The COVID-19 pandemic and Asian American employment," Empirical Economics, Springer, vol. 64(5), pages 2053-2083, May.
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    3. Seonho Shin, 2022. "Evaluating the Effect of the Matching Grant Program for Refugees: An Observational Study Using Matching, Weighting, and the Mantel-Haenszel Test," Journal of Labor Research, Springer, vol. 43(1), pages 103-133, March.
    4. Seonho Shin, 2022. "To work or not? Wages or subsidies?: Copula-based evidence of subsidized refugees’ negative selection into employment," Empirical Economics, Springer, vol. 63(4), pages 2209-2252, October.

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    More about this item

    Keywords

    Refugee labor market; Clustered observations; Nonlinear multi-level models; Chamberlain–Mundlak’s correlated random effects probit model; Conditional logit fixed effects model;
    All these keywords.

    JEL classification:

    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J71 - Labor and Demographic Economics - - Labor Discrimination - - - Hiring and Firing

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